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Generative AI Architect

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Tekgence Inc
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Title: Generative AI Architect

Position Type: Contract

Location: Jersey City, NJ (Hybrid)

Position Overview

We are seeking a highly skilled and experienced Generative AI (GenAI) Onsite Architect to join our team. The ideal candidate should have a deep understanding of AI technologies, particularly in the area of generative AI models, and will be responsible for designing and implementing AI solutions.

Key Responsibilities
  • Develop and design scalable and efficient GenAI solutions tailored to our requirements.
  • Lead the implementation of GenAI systems, ensuring they are robust, secure, and performant.
  • Work closely with cross-functional teams, including engineers and product managers to integrate AI solutions into existing systems.
  • Stay up-to-date with the latest advancements in AI and apply this knowledge to drive innovation within the company.
  • Create comprehensive documentation for AI solutions, including design specifications, implementation guides, and user manuals.
  • Provide training and mentorship to junior team members and clients on GenAI technologies and best practices.
Qualifications
  • Minimum of 5 years of experience in AI/ML, with a focus on generative models.
  • Proven track record of successfully implementing AI projects in real-world settings. Experience in managing the end-to-end lifecycle of AI projects, from conception to deployment.
  • Proficiency in programming languages such as Python and other AI frameworks.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively.
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Proven leadership abilities, with experience managing and mentoring technical teams.
  • Ability to work in a fast-paced, dynamic environment and adapt to changing project requirements.
  • Experience with cloud platforms such as AWS.
  • Familiarity with natural language processing (NLP).
Preferred Qualifications

Familiarity with Dev Ops practices and CI/CD pipelines for automated software deployment and delivery.

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